Nathan Odendahl, Ph.D.
About Nathan Odendahl, Ph.D.
Nathan Odendahl, Ph.D., is a data scientist with a strong academic background in chemistry, having earned his Ph.D. from the University of California, Berkeley. He has held various research and analytical roles, including positions at BioFire Diagnostics and Goldman Sachs, and currently works at Veryfi.
Current Role at Veryfi, Inc.
Nathan Odendahl serves as a Data Scientist at Veryfi, Inc., a position he has held since 2023. In this role, he applies his expertise in data analysis and machine learning to drive insights and improve decision-making processes within the organization.
Previous Experience at University of California, Berkeley
Nathan Odendahl worked at the University of California, Berkeley, as a Postdoctoral Researcher for five months in 2021. During this time, he contributed to various research projects, leveraging his background in chemistry to advance scientific knowledge. He was also a Ph.D. Candidate at the same institution from 2016 to 2021, where he focused on in-depth research in his field.
Educational Background in Chemistry
Nathan Odendahl earned his Ph.D. in Chemistry from the University of California, Berkeley, completing his studies from 2016 to 2021. Prior to this, he obtained an Honors Bachelor of Arts (H.B.A) in Chemistry from the University of Utah, where he studied from 2010 to 2016. His educational background has provided him with a strong foundation in chemical research and data analysis.
Internship and Early Career Experience
Nathan Odendahl gained practical experience as a Research Intern at BioFire Diagnostics, LLC, where he worked for nine months from 2014 to 2015. Additionally, he served as a Summer Analyst at Goldman Sachs for two months in 2015. His early career also includes a role as a Research/Teaching Assistant at the University of Utah College of Science from 2015 to 2016, where he supported both research and educational initiatives.
Data Science Role at Sonder Inc.
Before joining Veryfi, Nathan Odendahl worked as a Data Scientist at Sonder Inc. for five months in 2019. In this capacity, he utilized data-driven approaches to enhance operational efficiency and contribute to the company's objectives in the hospitality sector.